CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling

Ting-Yu Dai; Dev Niyogi; Zoltan Nagy

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arXiv · 2312.02375

CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling

Ting-Yu Dai·Dev Niyogi·Zoltan Nagy

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Abstract

Urban Building Energy Modeling (UBEM) is an emerging method to investigate urban design and energy systems against the increasing energy demand at urban and neighborhood levels. However, current UBEM methods are mostly physic-based and time-consuming in multiple climate change scenarios. This work proposes CityTFT, a data-driven UBEM framework, to accurately model the energy demands in urban environments. With the empowerment of the underlying TFT framework and an augmented loss function, CityTFT could predict heating and cooling triggers in unseen climate dynamics with an F1 score of 99.98 \% while RMSE of loads of 13.57 kWh.

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Ting-Yu Dai, Dev Niyogi, Zoltan Nagy. 2023-12-04. CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling. https://arxiv.org/abs/2312.02375

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